Triple

T7895170
Position Surface form Disambiguated ID Type / Status
Subject Anna Kournikova virus E183325 entity
Predicate doesNotExploit P2558 FINISHED
Object operating system vulnerabilities LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: operating system vulnerabilities | Statement: [Anna Kournikova virus, doesNotExploit, operating system vulnerabilities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: doesNotExploit
Context triple: [Anna Kournikova virus, doesNotExploit, operating system vulnerabilities]
  • A. doesNotProtect
    Indicates that an entity fails to provide protection or safeguarding to another entity or object.
  • B. doesNotUse chosen
    Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
  • C. doesNot
    Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
  • D. doesNotTry
    Indicates that an entity makes no attempt to perform a particular action or engage in a specified activity.
  • E. doesNotControl
    Indicates that one entity lacks authority, influence, or power to direct, manage, or determine the actions or state of another entity.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a174574819084270dbb6fcbb7fe completed March 31, 2026, 3:05 a.m.
PD Predicate disambiguation batch_69cae92d94448190b4425bbfb64c658c completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:01 p.m.